Against the backdrop of deepening the reform of the electricity market and the widespread development of wind and solar renewable energy, wind and solar power units urgently need to enter the electricity market together with conventional units as emerging market entities. Due to the fluctuation and intermittency of the output of wind and solar power units, backup units are needed in the market to solve the problems caused by the uncertainty of their output. As an emerging market entity, energy storage has the characteristic of flexible charging and discharging, which can handle the deviation caused by output uncertainty of wind and solar power units. Firstly, a trading model framework was designed for wind and solar energy storage units to participate in the day-ahead spot market in both joint and independent modes. Secondly, a output uncertainty analysis model for wind and solar power units was established, and scenarios were generated and reduced using Latin hypercube and synchronous backpropagation methods. Thirdly, under risk neutral and risk non neutral based on conditional Value at risk respectively, the optimal trading models of independent and joint participation of wind, solar and reserve in the day ahead spot market are constructed. Finally, a calculation example is used to verify the practicality and effectiveness of the constructed model by solving the problem.